Regression problem - NYC Taxi Fare Prediction
The main goal of this paper is to apply ML methods …
library(caret)
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library(tidymodels)
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library(lightgbm)
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library(parallel)
library(doParallel)
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library(yaml)
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library(readr)
library(yaml)
library(tidyverse)
library(bonsai)
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library(tidymodels)
library(ranger)
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library(kernlab)
library(plotfunctions)
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library(DT)
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library(geosphere)
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Reading the data and model specification from config.yaml file
source('functions.R')
config <- yaml.load_file("config.yaml")
df <- read_csv(config$dataset$raw)
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